1. Constraint capture
We document location, budget, intake, prior study, English stage and post-study goals before generating options.
Approach
Structured AI, reviewed by admissions judgment.
The workflow is built to make recommendations explainable, auditable and useful in a real counselling conversation.
2. Course attribute scan
The engine compares prerequisites, delivery mode, placement, accreditation, capstone and pathway flexibility.
3. Friction review
Potential problems are labelled clearly: academic gap, timing issue, cost pressure or weak career logic.
4. Match memo
The adviser receives a concise memo that turns the shortlist into a defensible conversation.
No black-box admissions promises.
Outputs are decision support, not guaranteed outcomes. The final recommendation depends on current university rules, document evidence and adviser review.